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Vibro-Acoustic Analysis for Transformer under DC Bias Based on Electromagnetic Coupling

Progress In Electromagnetics Research B 2024年 104卷 171-186页

作者： Pan, Chao Shi, Xiaobo Fu, Tongrui An, Jingge Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

Aiming at the operational stability of DC-biased transformer, a multi-parameter correlation method based on electromagnetic coupling is presented in this paper. The mode-state analysis scheme is designed, and the feature parameters of electromagnetic, mechanical, and acoustic fields in internal components are simulated and analyzed. The electromagnetic properties under DC bias are simulated by the electromagnetic model, thus the winding current and magnetic flux density are extracted as the feature parameters. Then the vibration and stress distribution can be solved by the mechanical model, which are treated as the feature parameters of the mechanical field. By utilizing the computed mechanical information as excitation, the spatial-temporal distribution of sound pressure can be obtained in the acoustic model. Taking three-phase three-limb transformer and three-phase group transformer as examples, the electromagnetic, mechanical, and acoustic parameters of components are analyzed under different conditions. The variations of feature parameters are summarized and contrasted. Furthermore, actual vibration and noise parameters are measured through dynamic experimental platforms. The effectiveness of the multi-parameter correlation method is verified by the consistency between simulation and experiments, and the unobservable abnormal physical features can be represented by observable electrical information. © 2024, Electromagnetics Academy. All rights reserved.

关键词： Correlation methods

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The Characteristics and Suppression Protection Measures of AC Filter Closing Inrush Current Considering Residual Voltage and Residual Charge

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Engineering Letters 2024年第12期32卷 2191-2199页

作者： Gao, Hongguang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

In recent years, China has implemented numerous ultra-high voltage direct current transmission projects, offering notable advantages such as high stability, low losses, and cost-effectiveness. These projects necessitate frequent switching of AC filters at converter stations to meet reactive power requirements. During filter switching, a substantial closing inrush current is generated. The capacitors in AC filters, made up of multiple small capacitors in series and parallel, can retain residual charge and voltage if flashovers occur in some capacitors. Moreover, due to the capacitors' memory effect, rapid re-closing of the AC filter shortly after system operation can result in residual voltage, leading to a larger closing inrush current. This study presents a residual charge calculation model for high-voltage capacitors and a residual voltage model for quick re-closing scenarios established through PSCAD/EMTDC simulations. The research not only analyzes the detrimental effects of closing inrush current and overvoltage on the filter system caused by residual charges and voltage but also proposes innovative solutions with practical implications. To expedite the discharge of capacitors with residual charges, a novel adjustable discharge resistance model is proposed, which can enhance discharge speed by four times, significantly improving the efficiency and safety of high-voltage transmission systems. In addition, this paper introduces a new type of capacitor flashover fault identification method, which can achieve more accurate identification of the fault location and the number of capacitors that flashover occurs, thereby significantly facilitating the maintenance and troubleshooting of high-voltage systems. © 2024, International Association of Engineers. All rights reserved.

关键词： Cost effectiveness

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Risk-Balanced Routing Strategy for Service Function Chains of Cyber-Physical Power System Considering Cross-Space Cascading Failure

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Energy Engineering 2024年第9期121卷 2525-2542页

作者： He Wang Xingyu Tong Huanan Yu XiaoHu Jing Bian The Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132000China

Cyber-physical power system(CPPS)has significantly improved the operational efficiency of power ***,cross-space cascading failures may occur due to the coupling characteristics,which poses a great threat to the safety and reliability of CPPS,and there is an acute need to reduce the probability of these *** this end,this paper first proposes a cascading failure index to identify and quantify the importance of different information in the same class of communication *** this basis,a joint improved risk-balanced service function chain routing strategy(SFC-RS)is proposed,which is modeled as a robust optimization problem and solved by column-and-constraint generation(C-CG)*** with the traditional shortest-path routing algorithm,the superiority of SFC-RS is verified in the IEEE 30-bus *** results demonstrate that SFC-RS effectively mitigates the risk associated with information transmission in the network,enhances information transmission accessibility,and effectively limits communication disruption from becoming the cause of cross-space cascading failures.

关键词： Cyber-physical power system service function chain risk balance routing optimization cascading failure

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Viewpoint Rotation Prediction based Resource-Efficient Holographic Type Communication in EON enabled 6G RAN 22

Viewpoint Rotation Prediction based Resource-Efficient Holog...

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22nd International Conference on Optical Communications and Networks, ICOCN 2024

作者： Wang, Xin Zhang, Chengyuan Wang, Yafei Li, Xuehua Key Laboratory of Information and Communication Systems Ministry of Information Industry Key Laboratory of Modern Measurement & Control Technology Beijing China

A LSTM based viewpoint rotation prediction enabled resource-efficient holographic type communication is investigated in EON enabled 6G RAN. The CensNet enhanced PPO is used for feature extraction based DU-CU deploymen... 详细信息

ISBN: (纸本)9798350367652

关键词： Holography

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RESEARCH ON AUTONOMOUS INTERVAL MAINTENANCE IN COLLABORATIVE FLIGHT OF UNMANNED AERIAL VEHICLES 10

RESEARCH ON AUTONOMOUS INTERVAL MAINTENANCE IN COLLABORATIVE...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Ling, Xing Wang, Weiye Li, Qing School of Automation Beijing Information Science & Technology University Beijing China Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing China

ISBN: (纸本)9781837242672

This study investigates the use of the Vicsek model for maintaining autonomous intervals in the cooperative flight of unmanned aerial vehicles (UAVs). Although the Vicsek model effectively simulates group movement, it does not inherently maintain safe intervals between drones. To address this limitation, we propose an enhanced approach that incorporates a speed adaptive mechanism and a repulsive force mechanism. The speed adaptive mechanism dynamically adjusts the drone's speed based on its proximity to neighboring drones, slowing down when in close proximity and speeding up when further apart, thus preventing collisions. Additionally, the repulsive force mechanism ensures that drones maintain a safe distance from each other, even in high-density areas, thereby avoiding clustering and maintaining formation stability. Our simulation results indicate that drones equipped with these mechanisms achieve direction and speed consistency more rapidly, effectively avoid collisions in dense environments, and enhance overall movement speed and task execution efficiency. This approach provides a robust solution for autonomous interval maintenance in UAV swarms, ensuring safe and efficient collaborative operations in complex environments. The findings of this study contribute significantly to the field of UAV collaborative flight, offering practical implications for military reconnaissance, agricultural management, logistics, and disaster relief applications. © The Institution of Engineering & technology 2024.

关键词： Drones

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Fault Diagnosis Method of Rolling Bearing Based on MSCNN-LSTM

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Computers, Materials & Continua 2024年第6期79卷 4395-4411页

作者： Chunming Wu Shupeng Zheng Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China Ministry of Education Northeast Electric Power UniversityJilin132012China

Deep neural networks have been widely applied to bearing fault diagnosis systems and achieved impressive success *** address the problem that the insufficient fault feature extraction ability of traditional fault diagnosis methods results in poor diagnosis effect under variable load and noise interference scenarios,a rolling bearing fault diagnosis model combining Multi-Scale Convolutional Neural Network(MSCNN)and Long Short-Term Memory(LSTM)fused with attention mechanism is *** adaptively extract the essential spatial feature information of various sizes,the model creates a multi-scale feature extraction module using the convolutional neural network(CNN)learning *** learning capacity of LSTM for time information sequence is then used to extract the vibration signal’s temporal feature *** parallel large and small convolutional kernels teach the system spatial local *** gathers temporal global features to thoroughly and painstakingly mine the vibration signal’s characteristics,thus enhancing model ***,bearing fault diagnosis is accomplished by using the SoftMax *** experiment outcomes demonstrate that the model can derive fault properties entirely from the initial vibration *** can retain good diagnostic accuracy under variable load and noise interference and has strong generalization compared to other fault diagnosis models.

关键词： Bearing fault diagnosis convolutional neural network short-long-term memory network feature fusion

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SHORT-TERM TRAFFIC FLOW FORECASTING USING ADAPTIVE ECHO STATE NETWORKS 10

SHORT-TERM TRAFFIC FLOW FORECASTING USING ADAPTIVE ECHO STAT...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Li, Zhouyang Wang, Weiye Li, Qing School of Automation Beijing Information Science & Technology University Beijing China Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing China

ISBN: (纸本)9781837242672

In recent years, with the increase in vehicle volume, the traffic system has been inconvenienced. Therefore, the timeliness and accuracy of traffic flow prediction are crucial to the overall efficiency of the traffic system. Echo state network (ESN) has attracted extensive attention in the field of time series and traffic flow prediction due to its simple concept, low computational cost and simplicity. However, the traditional ESN model has certain limitations in terms of prediction accuracy and stability when facing complex and changeable traffic flow data. In order to solve this problem, this paper proposes an ESN prediction model combined with adaptive optimization. The simulated annealing algorithm is used to optimize the configuration of several important parameters of ESN, thereby improving the prediction performance and stability of the model. The experimental results show that the optimized ESN model is significantly better than the traditional ESN method in terms of prediction accuracy and stability. The monthly mean absolute percentage error (MAPE) is reduced from 10.05% to 6.6%, and the average error of each detector is reduced from 9.5% to 6.61%. This study proposes a more efficient and reliable method for short-term traffic flow prediction, which shows potential value in practical applications. © The Institution of Engineering & technology 2024.

关键词： Simulated annealing

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STUDY ON COUPLING FAULT DIAGNOSIS OF THE PLANETARY TRANSMISSION GEARBOX BY USING WAVELET TRANSFORM AND 1DCNN 10

STUDY ON COUPLING FAULT DIAGNOSIS OF THE PLANETARY TRANSMISS...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Qiu, Baolin Ma, Chao Wang, Shaohong Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology Beijing China Beijing Key Lab of Measurement and Control of Mechanical and Electrical System Beijing Information Science and Technology Beijing China

ISBN: (纸本)9781837242672

Considering the susceptibility of planetary transmission to strong noise interference, a fault diagnosis method is proposed based on Morlet wavelet transform and 1D Convolutional Neural Network (1DCNN). Firstly, the acceleration captured from the transmission is dealt with angle resampling to reduce the dependence of speed on signal characteristics, and band-pass filtering is performed, which parameter is determined by using the fast spectral kurtosis algorithm. Subsequently, the filtered data is decomposed into several multiple intrinsic mode function (IMF) components with the EEMD algorithm and reconstructed according to the correlation coefficient parameter. Then reconstructed data is subjected to further noise reduction processing using wavelet transform and the amplitude in the scale parameter with the highest kurtosis as the input to 1DCNN for training and fault diagnosis classification. The experimental results show that the proposed method can effectively reduce noise interference, the fault diagnosis accuracy of the processed data is relatively high. The fault diagnosis accuracy of the processed data is significantly higher than that of the raw data. © The Institution of Engineering & technology 2024.

关键词： Noise abatement

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Optimal Configuration of Fault Location measurement Points in DC Distribution Networks Based on Improved Particle Swarm Optimization Algorithm

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Energy Engineering 2024年第6期121卷 1535-1555页

作者： Huanan Yu Hangyu Li He Wang Shiqiang Li Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China

The escalating deployment of distributed power sources and random loads in DC distribution networks hasamplified the potential consequences of faults if left uncontrolled. To expedite the process of achieving an optimalconfiguration of measurement points, this paper presents an optimal configuration scheme for fault locationmeasurement points in DC distribution networks based on an improved particle swarm optimization ***, a measurement point distribution optimization model is formulated, leveraging compressive *** model aims to achieve the minimum number of measurement points while attaining the best compressivesensing reconstruction effect. It incorporates constraints from the compressive sensing algorithm and networkwide viewability. Subsequently, the traditional particle swarm algorithm is enhanced by utilizing the Haltonsequence for population initialization, generating uniformly distributed individuals. This enhancement reducesindividual search blindness and overlap probability, thereby promoting population diversity. Furthermore, anadaptive t-distribution perturbation strategy is introduced during the particle update process to enhance the globalsearch capability and search speed. The established model for the optimal configuration of measurement points issolved, and the results demonstrate the efficacy and practicality of the proposed method. The optimal configurationreduces the number of measurement points, enhances localization accuracy, and improves the convergence speedof the algorithm. These findings validate the effectiveness and utility of the proposed approach.

关键词： Optimal allocation improved particle swarm algorithm fault location compressed sensing DC distribution network

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High temperature piezoelectric properties and ultra-high temperature sensing properties of bismuth tungstate

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Journal of Advanced Ceramics 2024年第12期13卷 1931-1942页

作者： Yaoyao Liao Qingwei Liao Yuxiang Yin Yinghao Li Mingkun Du Hanqing Zhao Lingxia Li Yuying Wang Lei Qin Key Laboratory of Sensors Beijing Information Science&Technology UniversityBeijing 100192China Key Laboratory of Modern Measurement&Control Technology Ministry of EducationBeijing Information Science&Technology UniversityBeijing 100192China School of Microelectronics Tianjin UniversityTianjin 300072China Nanjing Light Xingjian Biological Technology Co. Ltd.Nanjing 210012China

In energy generation,aerospace,and other related industries,high-temperature acceleration sensing is an essential tool for diagnostic testing,troubleshooting,and quality ***,commercial acceleration sensors have a maximum operating temperature of no more than 550℃.The study of high-temperature piezoelectric ceramics is important for increasing the operating temperature of *** this work,high-temperature Bi_(2)Mo_(x)W_(1−x)O_(6)(BW)piezoelectric ceramics were prepared,and an all-mechanical center compression high-temperature acceleration sensor was designed and *** results show that when the doping ratio is x=0.001,the ceramic sample has the best performance:the relative density of 92%,the piezoelectric coefficient(d33)of 15 pC·N^(−1),the quality factor(Q_(m))of 1642,the dielectric constant(ε)of 307(1 kHz),and the dielectric loss(tanδ)of 0.33(1 kHz).With increasing B-doped Mo^(6+)content,the Curie temperatures of the ceramics are 975,966,961,and 967℃and the high-temperature annealing temperatures are 975,975,950,and 950°C,*** to tests of temperature performance,the developed BW high-temperature sensor has a good linear response and *** room temperature,a BW high-temperature piezoelectric sensor can be used stably within 1 kHz,and the average sensitivity is 3.259 pC·g^(−1).At 800℃,this device can be used in the frequency range of 0.1–1.1 kHz,and the average sensitivity is 3.305 pC·g^(−1);the linearity is greater than 0.99,and the sensitivity deviation is 1.4%.

关键词： high-temperature sensing acceleration sensor bismuth tungstate(BW) piezoelectric

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